In this recipe, you will learn how to detect keypoints in an image and apply simple post-processing heuristics for improving the overall quality of detected keypoints such as getting rid of keypoint clusters and removing relatively weak keypoints. This functionality is useful in such computer vision tasks as object tracking and video stabilization, since improving the quality of detected keypoints affects the final quality of the corresponding algorithms.
Selecting good corners in an image for tracking
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